histpos.t builds the matrix of observable capture histories in terms of captures and misses for a capture-recapture
experiment with t capture occasions.
histpos.0 builds the matrix of observable capture histories in terms of number of captures for each primary period of
a robust design with vt capture occasions. For closed populations, vt=t and histpos.0 simply returns t:1.
Usage
histpos.t(t)
histpos.0(vt)
Arguments
t
The number of capture occasions.
vt
A vector containing the numbers of capture occasions for each primary sampling period of a robust design.
The length of this vector equals the number of primary sampling periods (noted $I$).
Value
histpos.t gives a $2^t-1$ by $t$ matrix with rows representing capture histories. This matrix contains only
zeros and ones.
histpos.0 gives a $(t_1+1)\times(t_2+1)\times \ldots \times(t_I+1)-1$ by
$I$ matrix with rows representing possible capture histories in terms of number of captures. This matrix elements are
integers between 0 and $t_i$ inclusively.
References
Baillargeon, S. and Rivest, L.P. (2007) Rcapture: Loglinear models for capture-recapture in R. Journal of Statistical Software, 19(5), http://www.jstatsoft.org/v19/i05.